
from ....configuration_utils import PretrainedConfig
from ....utils import logging


lowercase    :   Dict						=			logging.get_logger(__name__)

# TODO: upload to AWS
lowercase    :   Tuple						=			{
    'yjernite/retribert-base-uncased': (
        'https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json'
    ),
}




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	_A								=	'retribert'







	def __init__(   self						:List[str]	,  a						:Tuple=3_0_5_2_2	,  a						:List[str]=7_6_8	,  a						:Dict=8	,  a						:int=1_2	,  a						:Optional[Any]=3_0_7_2	,  a						:Dict="gelu"	,  a						:Tuple=0.1	,  a						:Tuple=0.1	,  a						:Any=5_1_2	,  a						:Union[str, Any]=2	,  a						:int=0.02	,  a						:List[Any]=1E-1_2	,  a						:Dict=True	,  a						:Union[str, Any]=1_2_8	,  a						:List[str]=0	,  **a						:Any	,  )						->					List[str]:
								super().__init__(pad_token_id=a	,  **a		)

								__UpperCamelCase      :  List[Any]       =   vocab_size
								__UpperCamelCase      :  Optional[int]       =   hidden_size
								__UpperCamelCase      :  int       =   num_hidden_layers
								__UpperCamelCase      :  Tuple       =   num_attention_heads
								__UpperCamelCase      :  str       =   hidden_act
								__UpperCamelCase      :  Any       =   intermediate_size
								__UpperCamelCase      :  str       =   hidden_dropout_prob
								__UpperCamelCase      :  Tuple       =   attention_probs_dropout_prob
								__UpperCamelCase      :  List[str]       =   max_position_embeddings
								__UpperCamelCase      :  List[Any]       =   type_vocab_size
								__UpperCamelCase      :  Tuple       =   initializer_range
								__UpperCamelCase      :  str       =   layer_norm_eps
								__UpperCamelCase      :  List[Any]       =   share_encoders
								__UpperCamelCase      :  Union[str, Any]       =   projection_dim

from __future__ import annotations




class 					lowerCamelCase__				:




	'''simple docstring'''




	def __init__(   self						:Dict	,  a						:str	,  a						:str		)						->					Union[str, Any]:
								__UpperCamelCase  ,		__UpperCamelCase      :  Optional[int]       =   text, pattern
								__UpperCamelCase  ,		__UpperCamelCase      :  Tuple       =   len(a		), len(a		)







	def   _lowerCamelCase							(   self						:Any	,  a						:str		)						->					int:

								for i in range(self.patLen - 1	,  -1	,  -1		):
															if char == self.pattern[i]:
																						return i
								return -1







	def   _lowerCamelCase							(   self						:str	,  a						:int		)						->					int:

								for i in range(self.patLen - 1	,  -1	,  -1		):
															if self.pattern[i] != self.text[current_pos + i]:
																						return current_pos + i
								return -1







	def   _lowerCamelCase							(   self						:Union[str, Any]		)						->					list[int]:
								# searches pattern in text and returns index positions
								__UpperCamelCase      :  Any       =   []
								for i in range(self.textLen - self.patLen + 1		):
															__UpperCamelCase      :  List[Any]       =   self.mismatch_in_text(a		)
															if mismatch_index == -1:
																						positions.append(a		)
															else:
																						__UpperCamelCase      :  Any       =   self.match_in_pattern(self.text[mismatch_index]		)
																						__UpperCamelCase      :  Dict       =   (
																						    mismatch_index - match_index
																						)  # shifting index lgtm [py/multiple-definition]
								return positions
lowercase    :   Any						=			'ABAABA'
lowercase    :   str						=			'AB'
lowercase    :   str						=			BoyerMooreSearch(text, pattern)
lowercase    :   Union[str, Any]						=			bms.bad_character_heuristic()

if len(positions) == 0:
		print('No match found')
else:
		print('Pattern found in following positions: ')
		print(positions)